Michael J. Frank

Affiliations: 
Brown University, Providence, RI 
Area:
computational models, basal ganglia, reinforcement learning, decision making
Website:
http://ski.clps.brown.edu/
Google:
"Michael Frank"
Mean distance: 13.61 (cluster 23)
 
SNBCP
Cross-listing: Computational Biology Tree

Parents

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Randall C. O'Reilly grad student 1999-2004 CU Boulder
 (Dynamic dopamine modulation of striato-cortical circuits in cognition: Converging neuropsychological, psychopharmacological and computational studies.)
Tim Curran post-doc 2004-2005 CU Boulder

Children

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Wasita Mahaphanit research assistant 2018- Brown
Thomas V. Wiecki grad student Brown
Alana Jaskir grad student 2018-
Shikhar Kumar grad student 2007-2009 University of Arizona
Nicholas T Franklin grad student 2011-2017 Brown
Harrison Ritz grad student 2016-2021 Brown
Ahmed A. Moustafa post-doc Rutgers, New Brunswick
Matt R. Nassar post-doc Brown
Anne GE Collins post-doc 2010- Brown
James F. Cavanagh post-doc 2010-2013 Brown

Collaborators

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Kenneth J.D. Allen collaborator 2018-
BETA: Related publications

Publications

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Fengler A, Bera K, Pedersen ML, et al. (2022) Beyond Drift Diffusion Models: Fitting a Broad Class of Decision and Reinforcement Learning Models with HDDM. Journal of Cognitive Neuroscience. 1-26
Provenza NR, Gelin LFF, Mahaphanit W, et al. (2021) Honeycomb: a template for reproducible psychophysiological tasks for clinic, laboratory, and home use. Revista Brasileira De Psiquiatria (Sao Paulo, Brazil : 1999)
Diekhof EK, Geana A, Ohm F, et al. (2021) The Straw That Broke the Camel's Back: Natural Variations in 17β-Estradiol and COMT-Val158Met Genotype Interact in the Modulation of Model-Free and Model-Based Control. Frontiers in Behavioral Neuroscience. 15: 658769
Nassar MR, Waltz JA, Albrecht MA, et al. (2021) All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs. Brain : a Journal of Neurology
Pedersen ML, Frank MJ. (2020) Simultaneous Hierarchical Bayesian Parameter Estimation for Reinforcement Learning and Drift Diffusion Models: a Tutorial and Links to Neural Data. Computational Brain & Behavior. 3: 458-471
Lehnert L, Littman ML, Frank MJ. (2020) Reward-predictive representations generalize across tasks in reinforcement learning. Plos Computational Biology. 16: e1008317
Culbreth AJ, Waltz JA, Frank MJ, et al. (2020) Retention of Value Representations Across Time in People With Schizophrenia and Healthy Control Subjects. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
Huys QJM, Browning M, Paulus M, et al. (2020) Advances in the computational understanding of mental illness. Neuropsychopharmacology : Official Publication of the American College of Neuropsychopharmacology
Lamba A, Frank MJ, FeldmanHall O. (2020) Anxiety Impedes Adaptive Social Learning Under Uncertainty. Psychological Science. 956797620910993
Franklin NT, Frank MJ. (2020) Generalizing to generalize: Humans flexibly switch between compositional and conjunctive structures during reinforcement learning. Plos Computational Biology. 16: e1007720
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